Hypotheses: Is the square footage in my region (West North Central) different from the square footage of the national average( 2,111)?

The population parameter for the West North Central square footage is:

Ho: u=1,952

H1: u>1,952

With a significance level= 0.05

Sample Size n: 500

Sample Mean: 1951.58725

Standard Deviation: 397.446279

Population Mean: 2,111

Standard Error: 17.7565902

I need to find the quartiles 1 and 3:

=QUARTILE

Then I need to summarize my sample data, describing the center, spread, and shape in comparison to the national information.

Note: For shape, think about the distribution: skewed or symmetric.

Check the assumptions by determining if the normal condition has been met. Determine if there are any other conditions that you should check and whether they have been met.

Note: Think about the central limit theorem and sampling methods.

Here is my descriptive stats and my histogram:

120 Frequency 100 80 60 40 20 0 [ 808 , 988 ] (988 , 1,168 ] (1,168 , 1,348 ] Sample Square Footage ( 1,348 , 1,528 ] ( 1,528 , 1,708 ] (1,708 , 1,888 ] ( 1,888 , 2,068 ] Bins (2,068 , 2,248 ] ( 2,248 , 2,428 ] ( 2,428 , 2,608 ] (2,608 , 2,788 ] (2,788, 2,968]